Author

Xiaoyu Che

Columbia UniversityORCID 0000-0003-0001-4122Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:metabolomics· 1

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Christopher R. BrydgesiD· 1 shared Oliver FiehniD· 1 shared Walter Ian LipkiniD· 1 shared

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2023-2023 · peak 1/yr

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1 shared paperBioinformatics

Christopher R. BrydgesORCID

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1 paper

Recent·Most cited

BioinformaticsMetabolitesPeer-reviewedAug 31, 2023

Bayesian statistics improves biological interpretability of metabolomics data from human cohorts

Christopher R. Brydges, Xiaoyu Che, Walter Ian Lipkin, Oliver Fiehn

The paper applies Bayesian statistics to metabolomics data from human ME/CFS cohorts, revealing more consistent and biologically meaningful metabolic differences compared to frequentist methods.

8 citations

humanmetabolomics

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